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Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes.

, , , and . Remote. Sens., 10 (2): 164 (2018)

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Scaling dimensions in spectroscopy of soil and vegetation., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, 9 (2): 137-164 (2007)Registration of multiple low resolution nasa airborne snow observatory (ASO) lidar data for forest vegetation structure caracterization., , , and . IGARSS, page 2764-2767. IEEE, (2017)Fusion of Multiple Low-Resolution NASA Airborne Snow Observatory (ASO) Lidar Data for Forest Vegetation Structure Caracterization., , , and . IGARSS, page 7532-7535. IEEE, (2018)Mapping Snow Depth From Ka-Band Interferometry: Proof of Concept and Comparison With Scanning Lidar Retrievals., , , , and . IEEE Geosci. Remote. Sens. Lett., 14 (6): 886-890 (2017)Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes., , , and . Remote. Sens., 10 (2): 164 (2018)24 Hour near real time processing and computation for the JPL Airborne Snow Observatory., , , , , , , , , and 3 other author(s). IGARSS, page 5222-5225. IEEE, (2014)Impact of disturbed desert soils on duration of mountain snow cover, , , , , , , and . Geophysical Research Letters, (2007)Imaging spectroscopy to understand the controls on cryospheric melting in a changing world., , , , and . IGARSS, page 3070-3073. IEEE, (2017)Mapping snow-depth using KA-band InSAR: Calibration and validation during SnowEx., , , , , and . IGARSS, page 326-329. IEEE, (2017)The airborne snow observatory during NASA snow experiment (SnowEx) year 1: Mapping of snow water equivalent and snow albedo and constraining understanding of the physical environment., , , and . IGARSS, page 1399-1402. IEEE, (2017)